東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Optimization problems in radiotherapy for hypoxic tumors

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization problems in radiotherapy for hypoxic tumors/ by Alexei V. Chvetsov.
Author:	Chvetsov, Alexei V.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xiv, 139 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Tumor Models for Optimization of Radiotherapy Response -- Dose-Volume Effects in Tumor Control Probability -- Equivalent Uniform Aerobic Dose -- Dose Nonuniformity Effectiveness in Hypoxic Tumors -- Stability of Inverse Planning with Different Objective Functions.
Contained By:	Springer Nature eBook
Subject:	Cancer - Radiotherapy -
Online resource:	https://doi.org/10.1007/978-981-96-7001-7
ISBN:	9789819670017

Optimization problems in radiotherapy for hypoxic tumors
Chvetsov, Alexei V.

Optimization problems in radiotherapy for hypoxic tumors[electronic resource] /by Alexei V. Chvetsov. - Singapore :Springer Nature Singapore :2025. - xiv, 139 p. :ill., digital ;24 cm. - Biological and medical physics, biomedical engineering,2197-5647. - Biological and medical physics, biomedical engineering..

Introduction -- Tumor Models for Optimization of Radiotherapy Response -- Dose-Volume Effects in Tumor Control Probability -- Equivalent Uniform Aerobic Dose -- Dose Nonuniformity Effectiveness in Hypoxic Tumors -- Stability of Inverse Planning with Different Objective Functions.

This book highlights the mathematical aspects of treatment outcomes analysis and dose optimization in radiotherapy for heterogeneous hypoxic tumors. Hypoxia is a major factor of cancer resistance to radiotherapy treatment and is present in most tumors encountered in humans. The author tried to present a systematic consideration of radiotherapy for hypoxic tumors, but the emphasis was put on mathematical content of the problems. The book contains new approaches to the concepts of tumor control probability, equivalent uniform dose and radiotherapy dose optimization for hypoxic tumors developed by the author. Significant attention in this book is paid to comparison of models with measured and clinical data; therefore, the reduction of model parameters to overcome overfitting (model parsimony) was followed as much as possible.

ISBN: 9789819670017

Standard No.: 10.1007/978-981-96-7001-7doiSubjects--Topical Terms:

3789883
Cancer
--Radiotherapy

LC Class. No.: RC271.R3 / C48 2025

Dewey Class. No.: 616.9940642

Optimization problems in radiotherapy for hypoxic tumors
LDR:02241nmm a2200349 a 4500 001 2413654
003 DE-He213
005 20250624130232.0
006 m d
007 cr nn 008maaau
008 260205s2025 si s 0 eng d
020 $a 9789819670017 $q (electronic bk.)
020 $a 9789819670000 $q (paper)
024 7 $a 10.1007/978-981-96-7001-7 $2 doi
035 $a 978-981-96-7001-7
040 $a GP $c GP
041 0 $a eng
050 4 $a RC271.R3 $b C48 2025
072 7 $a PHVD $2 bicssc
072 7 $a SCI003000 $2 bisacsh
072 7 $a PHVD $2 thema
082 0 4 $a 616.9940642 $2 23
090 $a RC271.R3 $b C564 2025
100 1 $a Chvetsov, Alexei V. $3 3789882
245 1 0 $a Optimization problems in radiotherapy for hypoxic tumors $h [electronic resource] / $c by Alexei V. Chvetsov.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xiv, 139 p. : $b ill., digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
490 1 $a Biological and medical physics, biomedical engineering, $x 2197-5647
505 0 $a Introduction -- Tumor Models for Optimization of Radiotherapy Response -- Dose-Volume Effects in Tumor Control Probability -- Equivalent Uniform Aerobic Dose -- Dose Nonuniformity Effectiveness in Hypoxic Tumors -- Stability of Inverse Planning with Different Objective Functions.
520 $a This book highlights the mathematical aspects of treatment outcomes analysis and dose optimization in radiotherapy for heterogeneous hypoxic tumors. Hypoxia is a major factor of cancer resistance to radiotherapy treatment and is present in most tumors encountered in humans. The author tried to present a systematic consideration of radiotherapy for hypoxic tumors, but the emphasis was put on mathematical content of the problems. The book contains new approaches to the concepts of tumor control probability, equivalent uniform dose and radiotherapy dose optimization for hypoxic tumors developed by the author. Significant attention in this book is paid to comparison of models with measured and clinical data; therefore, the reduction of model parameters to overcome overfitting (model parsimony) was followed as much as possible.
650 0 $a Cancer $x Radiotherapy $x Mathematics. $3 3789883
650 0 $a Anoxemia. $3 1243946
650 1 4 $a Medical Physics. $3 3593543
650 2 4 $a Cancer Therapy. $3 3594090
650 2 4 $a Biological Imaging. $3 3603778
650 2 4 $a Cancer Imaging. $3 900314
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Biological and medical physics, biomedical engineering. $3 1027265
856 4 0 $u https://doi.org/10.1007/978-981-96-7001-7
950 $a Physics and Astronomy (SpringerNature-11651)